Ariful Azad
Orcid: 0000-0003-1332-8630
According to our database1,
Ariful Azad
authored at least 81 papers
between 2010 and 2024.
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Bibliography
2024
IEEE Trans. Vis. Comput. Graph., February, 2024
Comput. Sci. Eng., 2024
Distributed-Memory Parallel Algorithms for Sparse Matrix and Sparse Tall-and-Skinny Matrix Multiplication.
CoRR, 2024
iSpLib: A Library for Accelerating Graph Neural Networks using Auto-tuned Sparse Operations.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024
Two-Face: Combining Collective and One-Sided Communication for Efficient Distributed SpMM.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024
2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Distributed Sparse Random Projection Trees for Constructing K-Nearest Neighbor Graphs.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023
2022
Combinatorial BLAS 2.0: Scaling Combinatorial Algorithms on Distributed-Memory Systems.
IEEE Trans. Parallel Distributed Syst., 2022
Knowl. Inf. Syst., 2022
Inductive predictions of hydrologic events using a Long Short-Term Memory network and the Soil and Water Assessment Tool.
Environ. Model. Softw., 2022
Triple Sparsification of Graph Convolutional Networks without Sacrificing the Accuracy.
CoRR, 2022
CoRR, 2022
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
Proceedings of the SC22: International Conference for High Performance Computing, 2022
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022
Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022
2021
Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit.
IEEE Trans. Big Data, 2021
Patterns, 2021
Int. J. High Perform. Comput. Appl., 2021
Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records.
Data Intell., 2021
A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods.
CoRR, 2021
CoRR, 2021
Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data.
CoRR, 2021
CoRR, 2021
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021
Communication-Avoiding and Memory-Constrained Sparse Matrix-Matrix Multiplication at Extreme Scale.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021
Proceedings of the 2021 International Conference on Data Mining, 2021
GNNfam: utilizing sparsity in protein family predictions using graph neural networks.
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021
2020
A Distributed-Memory Algorithm for Computing a Heavy-Weight Perfect Matching on Bipartite Graphs.
SIAM J. Sci. Comput., 2020
J. Parallel Distributed Comput., 2020
Bandwidth Optimized Parallel Algorithms for Sparse Matrix-Matrix Multiplication using Propagation Blocking.
Proceedings of the SPAA '20: 32nd ACM Symposium on Parallelism in Algorithms and Architectures, 2020
Proceedings of the International Conference for High Performance Computing, 2020
Proceedings of the 2020 SIAM Conference on Parallel Processing for Scientific Computing, 2020
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020
Proceedings of the IEEE International Symposium on Workload Characterization, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
BatchLayout: A Batch-Parallel Force-Directed Graph Layout Algorithm in Shared Memory.
Proceedings of the 2020 IEEE Pacific Visualization Symposium, 2020
Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions.
Proceedings of the Artificial Intelligence in Medicine, 2020
2019
Performance optimization, modeling and analysis of sparse matrix-matrix products on multi-core and many-core processors.
Parallel Comput., 2019
LACC: A Linear-Algebraic Algorithm for Finding Connected Components in Distributed Memory.
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019
Proceedings of the Complex Networks and Their Applications VIII, 2019
2018
A distributed-memory approximation algorithm for maximum weight perfect bipartite matching.
CoRR, 2018
Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures, 2018
High-Performance Sparse Matrix-Matrix Products on Intel KNL and Multicore Architectures.
Proceedings of the 47th International Conference on Parallel Processing, 2018
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018
Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
Computing Maximum Cardinality Matchings in Parallel on Bipartite Graphs via Tree-Grafting.
IEEE Trans. Parallel Distributed Syst., 2017
Communication-Avoiding Optimization Methods for Massive-Scale Graphical Model Structure Learning.
CoRR, 2017
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017
2016
SIAM J. Sci. Comput., 2016
A matrix-algebraic formulation of distributed-memory maximal cardinality matching algorithms in bipartite graphs.
Parallel Comput., 2016
BMC Bioinform., 2016
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016
2015
CoRR, 2015
Codesign Lessons Learned from Implementing Graph Matching on Multithreaded Architectures.
Computer, 2015
A Parallel Tree Grafting Algorithm for Maximum Cardinality Matching in Bipartite Graphs.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015
2014
Parallel Comput., 2014
CoRR, 2014
2013
Proceedings of the ACM Conference on Bioinformatics, 2013
2012
Matching phosphorylation response patterns of antigen-receptor-stimulated T cells via flow cytometry.
BMC Bioinform., 2012
Multithreaded Algorithms for Matching in Graphs with Application to Data Analysis in Flow Cytometry.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium, 2012
2011
Proceedings of the first workshop on Irregular applications: architectures and algorithm, 2011
2010
Proceedings of the Algorithms in Bioinformatics, 10th International Workshop, 2010